Bundle Adjustment -- {PhD} Thesis Proposal
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212080" target="_blank" >RIV/68407700:21230/13:00212080 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/albl/Albl-TR-2013-30.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/albl/Albl-TR-2013-30.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bundle Adjustment -- {PhD} Thesis Proposal
Original language description
Bundle adjustment is an important optimization technique in computer vision. It is a key part of Structure from Motion computation and it is also applied in visual odometry. In this work we first analyze the problem of bundle adjustment and present the state of the art work on this topic, pointing out their advantages and drawbacks. Next, we investigate the open issues of bundle adjustment and ways to address the drawbacks of existing methods. The directions in which improvements can be made are precision, robustness and scalability. Followingly, we present our previous work on bundle adjustment. We show how we improved the precision of the resulting model by incorporating constrains for panoramic camera systems, utilizing their known physical properties. A novel parameterization for bundle adjustment is presented which removes limitations of other frequently used parameterizations. Finally, we emphasize main goals of the thesis which shall focus on designing a superior bundle adjustme
Czech name
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Czech description
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Classification
Type
V<sub>souhrn</sub> - Summary research report
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Number of pages
34
Place of publication
Praha
Publisher/client name
Center for Machine Perception, K13133 FEE Czech Technical University
Version
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